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Related Experiment Video

Updated: Sep 5, 2025

Measurement of Quantum Interference in a Silicon Ring Resonator Photon Source

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Published on: April 4, 2017

Silicon-Based Metastructure Optical Scattering Multiply-Accumulate Computation Chip.

Xu Liu^1,2, Xudong Zhu¹, Chunqing Wang¹

¹National Research Center for Optical Sensing/Communications Integrated Networking, Department of Electronics Engineering, Southeast University, Nanjing 210096, China.

Nanomaterials (Basel, Switzerland)

|July 9, 2022

Summary

Optical neural networks (ONN) offer superior speed and efficiency over electronic systems. This study designs key components for scattering ONN architectures using silicon photonics, enabling advanced optical computing.

Keywords:

coarse wavelength division multiplexer (CWDM)inverse design metastructure multiply–accumulate (MAC) operation optical neural network (ONN)optical scattering unit (OSU)silicon-on-insulator (SOI)

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Last Updated: Sep 5, 2025

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Published on: September 25, 2020

Area of Science:

Photonics and Optical Computing
Integrated Optics
Artificial Intelligence Hardware

Background:

Electronic neural networks face limitations in speed and energy consumption.
Silicon photonics offers CMOS compatibility for integrated optical devices.
Optical neural networks (ONN) present a promising alternative for high-performance computing.

Purpose of the Study:

To design and optimize components for silicon-based scattering ONN architectures.
To enable arbitrary multiply-accumulate operations essential for ONN functionality.
To advance the development of compact and highly integrated silicon photonic computing.

Main Methods:

Inverse design and optimization of a four-channel coarse wavelength division multiplexer (CWDM) using Lumerical software.
Design of an optical scattering unit (OSU) for signal weighting and summation.
Leveraging silicon-based micro-nano integrated photonic platforms for device fabrication compatibility.

Main Results:

Successfully designed and optimized CWDM and OSU topologies for scattering ONN.
Demonstrated the capability of the OSU to perform weighted summation of optical signals.
Established a foundational architecture for scattering ONN using integrated photonics.

Conclusions:

Silicon photonic platforms are suitable for developing advanced ONN devices.
The designed CWDM and OSU components are crucial for realizing scattering ONN.
This work paves the way for high-speed, low-power optical computing solutions.